The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Machine learning offers faster, more reliable analysis of Fermi surfaces in search of spintronic materials

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Umbilical cord blood may hold clues for a child’s risk of developing Type 1 diabetes

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for Type 1 diabetes. Cord blood is often tossed out during the birthing process ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
The University of Alabama at Birmingham

Diabetes subtype app helps clinicians personalize treatment

UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...
Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Wearable glucose monitors offer real-time data, but for healthy people no guidelines exist to interpret the numbers

But in 2026, anyone can buy a user-friendly wearable device that provides minute-by-minute readouts on how their glucose levels respond to food and movement. These glucose numbers are increasingly ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
EurekAlert!

USC-led team receives funding to build next-generation medical device that uses tears to monitor health

A team of researchers from USC in collaboration with the California Institute of Technology (Caltech) have received approximately $7.8 million from the Advanced Research Projects Agency for ...
Kennesaw State University

Projects to look for at the Spring Symposium of Student Scholars

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...

The Quiet Shift Replacing Million-Dollar Heart Scanners With Software

USANewsGroup.com News Commentary -- The global AI cardiology market is on track to hit $2.78 billion this year and climb past $14 billion by 2034, and the reason is straightforward: software is ...